"Moonfall," Roland Emmerich's latest exercise in fantasy destruction, is the second major movie to come out recently in which a huge space body is hurtling toward Earth and risks destroying all human life. In the other, "Don't Look Up," the menace is a comet, but the real story is the corruption of American politics and culture that prevents a rational response and leads to catastrophe. Whether the comet represents climate change (as the makers of "Don't Look Up" assert) or the COVID-19 pandemic (as fits the movie best), the celestial body is nonetheless only a MacGuffin, a pretext to expose the human follies that are the movie's subject. But, in "Moonfall," Emmerich is interested--really, really interested--in the moon. His obvious enthusiasm for the gloriously absurd science-fiction reconception of the moon drives the directorial pleasure principle, and it's infectious.

Football's annual showdown is just 10 days away. If you've been thinking of getting a new TV for the Super Bowl, Walmart has the deal for you. The big box retailer is selling a 58-inch Vizio 4K Smart TV for just $398. The Vizio V585-J01 has an excellent array of features such as built-in Apple AirPlay 2 and Chromecast, which allows you to send all kinds of content from your phone to your TV. This includes YouTube videos, iTunes, Apple TV shows and movies, Netflix, and more.

The Mad Hatter Goes Steampunk is a piece of digital artwork by Wild Snark which was uploaded on January 12th, 2022. The digital art may be purchased as wall art, home decor, apparel, phone cases, greeting cards, and more. All products are produced on-demand and shipped worldwide within 2 - 3 business days.

A wild snark descends into the metaverse is it heaven or hell? He makes this perilous journey to rescue Alice. However; she does not need rescuing She has now realised that the metaverse and wonderland are the same place. She is happy now; as are the white rabbits, who are in fact blue. One of the last few snarks that live in the wild. The other snarks have either been hunted by humans or domesticated.

It's already been a good week for Stephen King, with an adaptation of his short story The Boogeyman landing a movie order from Hulu. Now, Deadline is reporting that King's 2021 crime novel, Billy Summers, will be produced as a miniseries by J.J. Abrams and his production company, Bad Robot. Additionally, Bad Robot has lined up screenwriters Ed Zwick and Marshall Herskovitz to adapt Billy Summers, with Zwick also set up to direct the miniseries. According to Deadline, the miniseries will only run six to 10 episodes, and it will be shopped to streaming services and premium cable networks. Abrams and King have previously collaborated on adaptations of 11.22.63 and Castle Rock on Hulu, as well as Lisey's Story for Apple TV .

If you have ever bought a product online and marveled at the inanity and non-applicability of the'related items' that haunt the buying and after-sales process, you already understand that popular and mainstream recommender systems tend to fall short in terms of understanding the relationships between prospective purchases. If you buy a unlikely and infrequent item, such as an oven, recommendations for other ovens are likely to be superfluous, though the worst recommender systems fail to acknowledge this. In the 2000s, for example, TiVO's recommender system created an early controversy in this sector by reassigning the perceived sexuality of a user, who subsequently sought to're-masculinize' his user profile by selecting war movies – a crude approach to algorithm revision. Worse yet, you don't need to actually buy anything at (for instance) Amazon, or actually begin watching a movie whose description you're browsing at any major streaming platform, in order for information-starved recommender algorithms to start merrily down the wrong path; searches, dwells and clicks into the'details' pages are enough, and this scant (and probably incorrect) information is likely to be perpetuated across future browsing sessions at the platform. Sometimes it's possible to intervene: Netflix provides a'thumbs up/down' system which should in theory help its machine learning algorithms remove certain embedded concepts and words from your recommendations profile (though its efficacy has been questioned, and it remains much easier to evolve a personalized recommender algorithm from scratch than it is to remove undesired ontologies), while Amazon lets you remove titles from your customer history, which should downgrade any unwelcome domains that infiltrated your recommendations.

Whether you're ready or not, the AI revolution is here and is ready to sweep in and change the way we work and live. AI is already making waves in the healthcare industries, where 38% of doctors now use computers to aid the diagnosis process, and it is estimated that AI can cut US healthcare costs by $150 billion dollars in 2026. That's not the only industry that's being impacted though; the automotive, education, and finance sectors are also in the midst of evolving due to new technologies. AI, or artificial intelligence, is an all-encompassing term that refers to the ability of a digital computer to perform tasks commonly associated with intelligent beings. While AI is usually portrayed as being robotic and intimidating (looking at you, Ex Machina), you're already familiar with its capabilities if you've watched a recommended movie on Netflix or listened to your Discover Weekly on Spotify.

The metaverse as described to us by science fiction is a world of infinite possibilities. The easiest way to conceptualise it is by looking at Hollywood blockbusters such as Avatar and Ready, Player One. In the movies, the metaverse is a three-dimensional digital universe where players can escape physical reality, engage with each other as an avatar of their creation and experience anything they want, only limited by the human imagination and technology, says Selina Yuan, general manager of international business unit, Alibaba Cloud Intelligence. Apart from being a wondrous twin digital reality of our physical world, the metaverse's true potential lies in its ability to make better use of the digital intelligence we are already gaining and visualising it in a way that uncovers new insights that might have otherwise remain hidden. This could be the key to helping us solve real-world problems and building a greener, more inclusive, and technically advanced world.

Core music-making skills don't have a shelf life – if you could write, record and produce a great track in the past, those abilities are just as valid now as they ever were. Those skills might still need a little updating though. Music technology – both in terms of how we make it, and how we listen – is changing all the time, and it's always worth keeping up with the latest developments. When we talk about'intelligent' or'smart' plugins, we're generally using these as catch-all terms for a variety of technologies involving some combination of forensic audio analysis, artificial intelligence and machine learning. These are all terms that crop up in plugin promotional materials with increasing regularity.

According to reports, the growth of the global OTT marketplace is accelerating much more because of the pandemic. Previously, the compound annual growth rate (CAGR) was 16%. Post-pandemic, this number is expected to reach 19% by 2026, the market value could reach US$438.5 billion. King of the OTT platforms, Netflix is well-known for providing high-quality content with endless options. Netflix is globally popular for its services, and the secret behind is technologies like AI and machine learning that serve more relevant and intuitive recommendations to audiences.